ContextCore is the searchable, composable memory layer for AI-assisted development. Ingest from Claude, Cursor, Copilot, and more; search with lexical and semantic tools; expose memory via MCP.
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About ContextCore on Product Hunt
“Your AI agentic coding history, searchable and MCP-ready”
ContextCore was submitted on Product Hunt and earned 0 upvotes and 0 comments, placing #135 on the daily leaderboard. ContextCore is the searchable, composable memory layer for AI-assisted development. Ingest from Claude, Cursor, Copilot, and more; search with lexical and semantic tools; expose memory via MCP.
ContextCore was featured in Developer Tools (511k followers), Artificial Intelligence (466.2k followers), GitHub (41.2k followers) and Vibe coding (397 followers) on Product Hunt. Together, these topics include over 172.5k products, making this a competitive space to launch in.
Who hunted ContextCore?
ContextCore was hunted by Mihai Toth. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how ContextCore stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Mihai Toth